A nurse manager has conducted a study to look at the relationship between the amount of time staff nurses on a unit spend in patient rooms and the number of times the patients on that unit use their call lights
The manager reports the results of the data analysis as r = -1.02. How should these results be interpreted? 1. There is a strong positive relationship between the variables.
2. There is a strong negative relationship between the variables.
3. There is no relationship between the variables.
4. This is an improbable value and a mathematical error is possible.
4
Rationale 1: A positive value indicates a positive correlation between the variables, and -1.02 falls outside the parameters of a correlation coefficient (1.0 and -1.0).
Rationale 2: A negative value does indicate a negative correlation between the variables, but -1.02 falls outside the parameters of a correlation coefficient (1.0 and -1.0).
Rationale 3: A relationship may exist, but this value lies outside the parameters of a correlation coefficient (1.0 and -1.0), so it is impossible to be certain.
Rationale 4: Correlation coefficients can only range between 1.0 and -1.0, so this is an improbable value. Perhaps a mathematical error was made.
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